A structural labour supply model with flexible preferences

dc.contributor.authorvan Soest, Arthur
dc.contributor.authorDas, Marcel
dc.contributor.authorGong, Xiaodong
dc.date.accessioned2015-12-13T23:24:47Z
dc.date.issued2002
dc.date.updated2015-12-12T09:21:57Z
dc.description.abstractWe show how non-parametric flexibility can be attained in a structural labour supply model that can be used to analyse all sorts of (non-linear) tax and benefits reforms. The direct utility function is approximated with a series expansion. For given length of the expansion, the model is estimated by smooth simulated maximum likelihood, using Dutch data on labour supply of married females. Estimates of own and cross wage elasticities and tax reform effects suggest that a series expansion of order two is enough. Monte Carlo simulations show that the estimator performs very well, unless there is measurement error in the hours variable.
dc.identifier.issn0304-4076
dc.identifier.urihttp://hdl.handle.net/1885/92378
dc.publisherElsevier
dc.sourceJournal of Econometrics
dc.subjectKeywords: Approximation theory; Computer simulation; Constraint theory; Maximum likelihood estimation; Monte Carlo methods; Personnel; Regression analysis; Taxation; Wages; Labor supply; Non-parametric estimation; Industrial economics Labour supply; Non-parametric estimation; Tax reforms
dc.titleA structural labour supply model with flexible preferences
dc.typeJournal article
local.bibliographicCitation.issue1-2
local.bibliographicCitation.lastpage374
local.bibliographicCitation.startpage345
local.contributor.affiliationvan Soest, Arthur, RAND Corporation
local.contributor.affiliationDas, Marcel, Tilburg University
local.contributor.affiliationGong, Xiaodong, College of Business and Economics, ANU
local.contributor.authoruidGong, Xiaodong, u4042368
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor140211 - Labour Economics
local.identifier.absfor140303 - Economic Models and Forecasting
local.identifier.ariespublicationMigratedxPub23462
local.identifier.citationvolume107
local.identifier.doi10.1016/S0304-4076(01)00128-2
local.identifier.scopusID2-s2.0-0346724435
local.type.statusPublished Version

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